Machine Learning Top 10 Articles for the Past Year (v.2017)
Machine Learning Top 10 Articles for the Past Year (v.2017)
For the past year, we’ve ranked nearly 14,500 Machine Learning articles to pick the Top 10 stories (0.069% chance) that can help you advance your career in 2017.
“It was machine learning that enabled AlphaGo to whip itself into world-champion-beating shape by playing against itself millions of times” — Demis Hassabis, Founder of DeepMind
This machine learning list includes topics such as: Deep Learning, A.I., Natural Language Processing, Face Recognition, Tensorflow, Reinforcement Learning, Neural Networks, AlphaGo, Self-Driving Car.
This is an extremely competitive list and Mybridge has not been solicited to promote any publishers. Mybridge A.I. ranks articles based on the quality of content measured by our machine and a variety of human factors including engagement and popularity. Academic papers were not considered in this batch.
Give a plenty of time to read all of the articles you’ve missed this year. You’ll find the experience and techniques shared by the leading data scientists particularly useful.
Rank 1
Complete Deep Learning Tutorial, Starting with Linear Regression. Courtesy of Andrew Ng at Stanford University
Rank 2
Teaching Computer to Play Super Mario with DeepMind & Neural Networks. Courtesy of Ehren J. Brav
……. [ Super Mario Machine Learning Demonstration with MarI/O ]
Rank 3
A Beginner’s Guide To Understanding Convolutional Neural Networks [CNN Part I]. Courtesy of Adit Deshpande
………………………………… [ CNN Part II ]
………………………………… [ CNN Part III ]
Rank 4
Modern Face Recognition with Deep Learning — Machine Learning is Fun [Part 4]. Courtesy of Adam Geitgey
Rank 5
Machine Learning in a Year: From a total beginner to start using it at work. Courtesy of Per Harald Borgen
……………….….…….[ Machine Learning In a Week ]
Rank 6
Building Jarvis AI with Natural Language Processing. Courtesy of Mark Zuckerburg, CEO at Facebook.
Rank 7
Image Completion with Deep Learning in TensorFlow. Courtesy of Brandon Amos, Ph.D at Carnegie Mellon University
Rank 9
How to Code and Understand DeepMind’s Neural Stack Machine. Courtesy of Andrew Trask, PhD at University of Oxford
Rank 10
Neural Network that Changes Everything. Courtesy of Computerphile and Dr. Mike Pound, PhD at University of Nottingham
<Open Source of the Year>
No 1) Image Resolution
Neural Enhance: Super Resolution for images using deep learning.
[6,057 stars on Github]
No 2) Reinforcement Learning
Implementation of Reinforcement Learning Algorithms in Python, OpenAI Gym, Tensorflow
[2,185 stars on Github]
No 3) Tensorflow
Fast Style Transfer in TensorFlow
[2,553 stars on Github]
<Course of the Year>
No 1) Beginner
Data Science for Beginners: Deep Learning in Python with Tensor flow and Neural Networks.
[7,605 recommends, 4.6/5 rating]
No 2) Intermediate
[26,286 recommends, 4.5/5 rating]
<Bonus>
No 1) Visual Guide
A Visual Introduction to Machine Learning. Courtesy of stephanie yee and Tony Chu
.
No 2) Interview
40 Interview Questions asked at Startups in Machine Learning & Data Science
.
No 3) Dataset
104 of the Best Free Data Sources
.